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Artificial Intelligence Systems

Artificial Intelligence Systems
450-2029/01
čeština Artificial Intelligence Systems
450-2029/02
angličtina

Summary

The course is focused on the area of artificial intelligent methods application in engineering systems. It presents the sources and principles of artificial intelligence, introduces the classical and multivalue logics. The subject introduces the principles of spars knowledge using, principles of fuzzy mathematics, fuzzy logic and its application in modern expert systems and fuzzy controllers. It presents the principles of probability systems, neural networks and genetic algorithms and applications of this tools in modern cybernetics and robotics systems.

Literature

RUSSEL,S., NORVIG,P.: Artificial Intelligence, Prentice-Hall, Inc., 2003, ISBN 0-13-080302-2 
LUGER,G.F., STUBBLEFIELD,W.A.: Artificial Intelligence, The Benjamin/Cummings Publishing Company, Inc., 2009, ISBN-13: 978-0-321-54589-3  ISBN-10: 0-321-54589-3 
ZIMMERMANN,H.J. Fuzzy Set Theory - and Its Applications. Kluwer Academic Publishers, 2001. ISBN-13: 978-0792374350 

Advised literature

C. R. REEVES, J. E. ROW,. Genetic Algorithms: Principles and Perspectives. Kluwer Academic Publishers, New York, 2002.
GRAUPE,D. Principles of Artificial Neural Netvorks. World Scientific. 2013. ISBN: 978-981-4522-73-1 


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Language of instruction čeština, angličtina
Code 450-2029
Abbreviation SsUI
Course title Artificial Intelligence Systems
Coordinating department Department of Cybernetics and Biomedical Engineering
Course coordinator prof. Ing. Michal Prauzek, Ph.D.